Jake Grigsby

24 papers A* 4A 1C 2Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale.
CoRR
Seth Karten, Jake Grigsby, Tersoo Upaa Jr, Junik Bae, Seonghun Hong, Hyunyoung Jeong, Jaeyoon Jung, Kun Kerdthaisong, Gyungbo Kim, Hyeokgi Kim, Yujin Kim, Eunju Kwon, Dongyu Liu, Patrick Mariglia, Sangyeon Park, Benedikt Schink, Xianwei Shi, Anthony Sistilli, Joseph Twin, Arian Urdu, Matin Urdu, Qiao Wang, Ling Wu, Wenli Zhang, Kunsheng Zhou, Stephanie Milani, Kiran Vodrahalli, Amy Zhang, Fei Fang, Yuke Zhu, Chi Jin
2025 J jnl
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers.
CoRR
Jake Grigsby, Yuqi Xie, Justin Sasek, Steven Zheng, Yuke Zhu
2025 — conf
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback.
ACL (Findings)
Thai Quoc Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025 J jnl
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback.
CoRR
Thai Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025 J jnl
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making.
CoRR
Jake Grigsby, Yuke Zhu, Michael S. Ryoo, Juan Carlos Niebles
2024 A* conf
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers.
NeurIPS
Jake Grigsby, Justin Sasek, Samyak Parajuli, Daniel Adebi, Amy Zhang, Yuke Zhu
2024 J jnl
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers.
CoRR
Jake Grigsby, Justin Sasek, Samyak Parajuli, Daniel Adebi, Amy Zhang, Yuke Zhu
2024 A* conf
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents.
ICLR
Jake Grigsby, Linxi Fan, Yuke Zhu
2024 C conf
Launchpad: Learning to Schedule Using Offline and Online RL Methods.
JSSPP
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2023 J jnl
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents.
CoRR
Jake Grigsby, Linxi Fan, Yuke Zhu
2023 A* conf
Cross-Episodic Curriculum for Transformer Agents.
NeurIPS
Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Fan, Yuke Zhu
2023 J jnl
Cross-Episodic Curriculum for Transformer Agents.
CoRR
Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Jim Fan, Yuke Zhu
2023 A* conf
PGrad: Learning Principal Gradients For Domain Generalization.
ICLR
Zhe Wang, Jake Grigsby, Yanjun Qi
2023 J jnl
PGrad: Learning Principal Gradients For Domain Generalization.
CoRR
Zhe Wang, Jake Grigsby, Yanjun Qi
2022 J jnl
Launchpad: Learning to Schedule Using Offline and Online RL Methods.
CoRR
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2022 C conf
RARE: Renewable Energy Aware Resource Management in Datacenters.
JSSPP
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2022 J jnl
RARE: Renewable Energy Aware Resource Management in Datacenters.
CoRR
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2022 A conf
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning.
UAI
Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi
2021 J jnl
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets.
CoRR
Jake Grigsby, Yanjun Qi
2021 J jnl
Long-Range Transformers for Dynamic Spatiotemporal Forecasting.
CoRR
Jake Grigsby, Zhe Wang, Yanjun Qi
2021 J jnl
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning.
CoRR
Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi
2021 J jnl
Towards Automatic Actor-Critic Solutions to Continuous Control.
CoRR
Jake Grigsby, Jin Yong Yoo, Yanjun Qi
2020 J jnl
Measuring Visual Generalization in Continuous Control from Pixels.
CoRR
Jake Grigsby, Yanjun Qi
2020 — conf
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP.
EMNLP (Demos)
John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi